Hot Potato Criminology: Ethnographers and the Shame of Poor People's Crimes

2019 ◽  
Vol 2 (1) ◽  
pp. 21-52 ◽  
Author(s):  
Jack Katz

When ethnographers study street crime, they anticipate that readers might shame them for shaming the poor. One common response is to compromise the quality of ethnographic data. Another is to pass righteous indignation away from the poor by arguing the causal significance of deindustrialization, class inequalities, racial prejudice, policing, colonialism, or hostility toward immigrants. Almost always, such arguments are gratuitous: The evidence for the structural and historical causes offered by ethnographers does not vary with the situational and biographical variations in behavior that make for high-quality ethnographic data. Nevertheless, if we read around the rhetorical practices that contemporary ethnographers of crime use to shift shame away from their subjects and themselves, we learn how street crime is produced through small criminogenic social circles. Considered as a set, recent ethnographies have significantly advanced knowledge about the social psychology of criminality, and they provide promising leads for improving the understanding of variations in crime patterns over time and across metropolitan spaces.

Diacronia ◽  
2015 ◽  
Author(s):  
Simona-Andreea Șova

Benefiting from the consequences of cultural and scientific development which kicked off in the 19th century, the Romanian space also felt the lags up till then. The development and organisation deficit of science and culture, the poor quality of their relationships with the social complex, were augmented frequently not necessarily by the poor quality of the Romanian scholars, but by a certain superficiality of theirs in the approach and presentation of the treated matters. Trying to confer reliability, accuracy and transparency to the scientific construction in which he took part, A. Philippide often felt in a negative manner some of the scientific behaviours and results presented by his generation colleagues. In this context, beyond the high quality of his results and his highly responsible attitude, the way in which the scholar from Iași tried to improve the process was the scientific polemic.


2016 ◽  
Vol 8 (1) ◽  
pp. 57-82 ◽  
Author(s):  
Francesc Dilmé ◽  
Fei Li

We study the role of dropout risk in dynamic signaling. A seller privately knows the quality of an indivisible good and decides when to trade. In each period, he may draw a dropout shock that forces him to trade immediately. To avoid costly delay, the seller with a low-quality good voluntarily pools with early dropouts, implying that the expected quality of the good increases over time. We characterize the time-varying equilibrium trading dynamics. It is demonstrated that the maximum equilibrium delay of trade is decreasing in the initial belief that the good is of high quality. (JEL C73, D82, D83)


Author(s):  
T. A. Drobyshevskya

The article is dedicated to the role of the knowledge-producing sector for the development of innovation economy in Finland. History and structure of the Finnish innovation system, as well as main characters of knowledge-producing sector as a part of the system are in the center of investigation. The author comes to the conclusion that it was the social state model in Finland that made it possible to create the knowledge-producing sector able either to keep a high quality of education of all levels or to maintain a culture of networking diffusion of knowledge and innovation.


BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e038646
Author(s):  
Maíra Ramos Alves ◽  
Cristiane de Cássia Bergamaschi ◽  
Flávia Blaseck Sorrilha ◽  
Izabela Fulone ◽  
Silvio Barberato-Filho ◽  
...  

IntroductionThe number of clinical practice guidelines (CPGs) have increased substantially mainly in the paediatric area of mental health. However, little is known about the quality or how recommendations for the treatment of disorders such as schizophrenia in children and adolescents have changed over time. The aim of this study will be to assess the quality of the development of CPGs for the treatment and management of schizophrenia in children and adolescents over time using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) tool and to compare the recommendations and interventions described in these documents.Methods and analysisCPGs will be identified using a prospective protocol through a systematic search of multiple databases (Medline, Embase, Health Systems Evidence, Epistemonikos, Lilacs, etc) and guideline websites from 2004 to December 2020. The quality of the guidelines will be assessed by three reviewers, independently using the AGREE II. CPGs will be considered of high-quality if they scored ≥60% in four or more domains of the AGREE II instrument. Non-parametric tests will be used to test for the change of quality over time. We will summarise the different evidence grading systems and compare the recommendations.Ethics and disseminationEthical approval is not required since it is a literature-based study. Future results of the research can be submitted for publication in scientific journals of high impact, peer reviewed and also published in national and international conferences. The results derived from this study will contribute to the improvement of health institutions and policies, informing about existing recommendation guidelines and about deficiencies and qualities found in those. This study may also identify key areas for future research. This study may guide the search and choice for high quality CPGs by health policy makers and health professionals and subsidise future adaptations.Protocol registration numberCRD42020164899.


GPS Solutions ◽  
2020 ◽  
Vol 24 (4) ◽  
Author(s):  
Kamil Kazmierski ◽  
Radoslaw Zajdel ◽  
Krzysztof Sośnica

Abstract High-quality satellite orbits and clocks are necessary for multi-GNSS precise point positioning and timing. In undifferenced GNSS solutions, the quality of orbit and clock products significantly influences the resulting position accuracy; therefore, for precise positioning in real time, the corrections for orbits and clocks are generated and distributed to users. In this research, we assess the quality and the availability of real-time CNES orbits and clocks for GPS, GLONASS, Galileo, and BeiDou-2 separated by satellite blocks and types, as well as the product quality changes over time. We calculate the signal-in-space ranging error (SISRE) as the main orbit and clock quality indicator. Moreover, we employ independent orbit validation based on satellite laser ranging. We found that the most accurate orbits are currently available for GPS. However, Galileo utmost stable atomic clocks compensate for systematic errors in Galileo orbits. As a result, the SISRE for Galileo is lower than that for GPS, equaling 1.6 and 2.3 cm for Galileo and GPS, respectively. The GLONASS satellites, despite the high quality of their orbits, are characterized by poor quality of clocks, and together with BeiDou-2 in medium and geosynchronous inclined orbits, are characterized by SISRE of 4–6 cm. BeiDou-2 in geostationary orbits is characterized by large orbital errors and the lowest availability of real-time orbit and clock corrections due to a large number of satellite maneuvers. The quality of GNSS orbit and clock corrections changes over time and depends on satellite type, block, orbit characteristics, onboard atomic clock, and the sun elevation above the orbital plane.


2020 ◽  
Vol 52 (7) ◽  
pp. 1395-1414
Author(s):  
Christopher S Fowler ◽  
Leif Jensen

A broad literature has made it clear that geographic units must be selected with care or they are likely to introduce error and uncertainty into results. Nevertheless, researchers often use data “off the shelf” with the implicit assumptions that their observations are consistent with the geographical concept relevant for their research question, and that they are of uniformly high quality in capturing this geographic identity. In this paper, we consider the geographical concept of “labor market” and offer a template for both clarifying its meaning for research and testing the suitability of extant labor-market delineations. We establish a set of metrics for comparing the quality of existing labor-market delineations with respect to the diverse meanings that researchers apply to the concept. Using the fit metrics established here, researchers can explore how delineations vary geographically, how they vary over time, and how this variation may shape research outcomes. Our assessment is that the quality of the extant delineations is relatively high overall. However, we find that different delineations vary significantly in the types of labor markets they represent, and that regional variations in fit within any given delineation may introduce noise or regional bias that merits consideration in any analysis conducted with these units. More broadly, the kinds of metrics we propose here have applicability for many other geographic entities where boundaries and scale can be only imperfectly defined.


1985 ◽  
Vol 18 (01) ◽  
pp. 53-62 ◽  
Author(s):  
Michael S. Lewis-Beck

One autumn out of four, election forecasting surpasses baseball as America's national pastime. Then, everyone wants to know who will win, and everyone has a guess. Now, with the ballots carefully counted, forecasters await their awards. Below, I evaluate the quality of a wide range of 1984 presidential and congressional forecasts. The evaluation proceeds from nonscientific to scientific approaches, although this distinction is sometimes blurred. To lower the level of suspense, I should say that some forecasts turned out to be quite good. By way of conclusion, I offer a set of rules for selecting a high-quality forecasting instrument.Lucky GuessesMany popular election forecasting rules take advantage of chance, which has been working in their favor. Perhaps the most famous is the World Series forecast, which says, “If the American League wins the World Series, then the Republican presidential candidate will win.” This technique was accurate from 1952 to 1976, missed in 1980, but worked again in 1984 with the victory of the Detroit Tigers. A lesser known rule of this type, which is my personal favorite, is based on the Beaujolais wine harvest. Accordingly, “If the Beaujolais vintage looks bad, then the Republican will take the presidency.” This has held post-1960, and continues to do so with the poor 1984 crop (yielding a wine too light, with little color). There are other such rules that relate more directly to the candidates themselves and, in that sense, have more verisimilitude.


2012 ◽  
Author(s):  
Francesco Sarracino

In the long run economic growth does not improve people's well-being. Traditional theories – adaptation and social comparisons – explain this evidence, but they don't explain what shapes the trend of subjective well-being and its differences across countries. Recent research identified in social capital a plausible candidate to explain the trends of well-being. This dissertation adopts various econometric techniques to explore the relationship over time among social capital, economic growth and subjective well-being. The main conclusion is that social capital is a good predictor of the trend of subjective well-being, both within and across countries. Hence, policies for well-being should aim at preserving and enhancing social capital for the quality of the social environment matters.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Husein Pasha ◽  
Isa Nakhai Kamalabadi ◽  
Alireza Eydi

The integrated production-distribution (P-D) planning has turned into one of the most essential areas in supply chain (SC) management in recent years, especially in the case of perishable products in which the quality of products can change over time. Nonetheless, so far, the suggested models have focused on the P-D stages of the chain while the delivery of high-quality products to customers is of paramount significance in the perishable SC. In the present paper, a multiobjective, mixed-integer, and nonlinear programming (MOMINLP) mathematical model was developed for integrated P-D deteriorating items in a two-echelon SC that emphasizes quality degradation. Quality is monitored and calculated as a function of temperature and time throughout the SC, and the main purpose of the model is to first increase the quality of products delivered to customers and, second, minimize the SC costs. To optimize the problem, the particle swarm optimization (PSO) approach was also incorporated into the model. The obtained model was applied to a case study in Protein Gostar Sina Company in Iran, which resulted in decreased P-D costs as well as increased customer satisfaction.


BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e051424
Author(s):  
Pia Kjær Kristensen ◽  
Anne Mette Falstie-Jensen ◽  
Morten Madsen ◽  
Søren Paaske Johnsen

ObjectivesTo characterise and quantify possible patient-related disparities in hip fracture care including temporal changes.DesignPopulation-based cohort study.SettingAll Danish hospitals treating patients with hip fracture.Participants60 275 hip fracture patients from 2007 to 2016.InterventionsQuality of care was defined as fulfilment of eligible care process measures for the individual patient recommended by an expert panel. Using yearly logistic regression models, we predicted the individual patient’s probability for receiving high-quality care, resulting in a distribution of adjusted probabilities based on age, sex, comorbidity, fracture type, education, family mean income, migration status, cohabitation status, employment status, nursing home residence and type of municipality. Based on the distribution, we identified best-off patients (ie, the 10% of patients with the highest probability) and worst-off patients (ie, the 10% of patients with the lowest probability). We evaluated disparities in quality of care by measuring the distance in fulfilment of outcomes between the best-off and worst-off patients.Primary and secondary outcome measuresThe primary outcome was fulfilment of all-or-none, defined as receiving all relevant process measures. Secondary outcomes were fulfilment of the individual process measures including preoperative optimisation, early surgery, early mobilisation, assessment of pain, basic mobility, nutritional risk and need for antiosteoporotic medication, fall prevention and a postdischarge rehabilitation programme.ResultsThe proportion of patients receiving high-quality care varied over time for both best-off and worst-off patients. The absolute difference in percentage points between the best-off and worst-off patients for receiving all-or-none of the eligible process measures was 12 (95% CI 6 to 18) in 2007 and 23 (95% CI 19 to 28) in 2016. Disparities were consistent for a range of care processes, including assessment of pain, mobilisation within 24 hours, assessment of need for antiosteoporotic medication and nutritional risk assessment.ConclusionsDisparity of care between best-off and worst-off patients remained substantial over time.


Sign in / Sign up

Export Citation Format

Share Document